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Democratic ideals
1.110 respondents from CH, DE, FR and UK, individual level data, Facebook recruited via Limesurvey, timeframe of data collection: July - December 2020. Indiviuals 18+ were targeted (+ filtered on question on voting rights). Questions on democratic ideals (likert scales and 100-points), socio-demographics, pre-study for question testing, not representative, Entries without data were deleted. Dummy-variables at end only for countries (based on variable "country"). No missing values treatment
Enquête auprès des candidats - 2007
Due to anonymity reasons, the variables city and city_num are not included in the downloadable dataset. These variables are only available on request and with prior consent of the authors. Please send an e-mail with your justified request to [email protected]
SRF DSGS Daily news broadcast: video and original subtitle data
These are Standard German daily news (Tagesschau) and Swiss German weather forecast (Meteo) episodes broadcast and interpreted into Swiss German Sign Language by hearing interpreters (among them, children of Deaf adults, CODA) via Swiss National TV (Schweizerisches Radio und Fernsehen, SRF) (https://www.srf.ch/play/tv/sendung/tagesschau-in-gebaerdensprache?id=c40bed81-b150-0001-2b5a-1e90e100c1c0). For a more extended description of the data, visit https://www.wmt-slt.com/data
Surface Groups Belgium 1984-2020
Surface groups for Belgium (years 1984 - 2020) as georeferenced TIF files.
Classified land cover (surface) of each pixel indicated as:
0 = built-up surfaces: surfaces with buildings of non-natural materials such as concrete, metal, and glass (e.g., residential buildings, industrial plants, roads)
1 = grassy surfaces: surfaces covered by grass or other plants with similar surface reflectance (e.g., natural grassland, city parks)
2 = surfaces with crop fields: surfaces with vegetation for agricultural purposes (e.g., hayfields, vineyards)
3 = forest-covered surfaces: surfaces covered by trees or other plants with similar surface reflectance (e.g., mixed forests, moors)
4 = surfaces without vegetation: surfaces with (almost) no vegetation or buildings (e.g., bare rock, sand plains)
5 = water surfaces: any type of water surface (e.g., rivers, lakes)
9 = missing surface classification, most likely due to cloud cove
Surface Groups Ireland 1984-2020
Surface groups for Ireland (years 1984 - 2020) as georeferenced TIF files.
Classified land cover (surface) of each pixel indicated as:
0 = built-up surfaces: surfaces with buildings of non-natural materials such as concrete, metal, and glass (e.g., residential buildings, industrial plants, roads)
1 = grassy surfaces: surfaces covered by grass or other plants with similar surface reflectance (e.g., natural grassland, city parks)
2 = surfaces with crop fields: surfaces with vegetation for agricultural purposes (e.g., hayfields, vineyards)
3 = forest-covered surfaces: surfaces covered by trees or other plants with similar surface reflectance (e.g., mixed forests, moors)
4 = surfaces without vegetation: surfaces with (almost) no vegetation or buildings (e.g., bare rock, sand plains)
5 = water surfaces: any type of water surface (e.g., rivers, lakes)
9 = missing surface classification, most likely due to cloud cover
If a TIF file for a given year within the observation period is missing, no valid satellite imagery was available for that year (e.g., due to constant cloud cover)
Surface Groups Turkey 1984-2021
Surface groups for Turkey (years 1984 - 2021) as georeferenced TIF files.
Classified land cover (surface) of each pixel indicated as:
0 = built-up surfaces: surfaces with buildings of non-natural materials such as concrete, metal, and glass (e.g., residential buildings, industrial plants, roads)
1 = grassy surfaces: surfaces covered by grass or other plants with similar surface reflectance (e.g., natural grassland, city parks)
2 = surfaces with crop fields: surfaces with vegetation for agricultural purposes (e.g., hayfields, vineyards)
3 = forest-covered surfaces: surfaces covered by trees or other plants with similar surface reflectance (e.g., mixed forests, moors)
4 = surfaces without vegetation: surfaces with (almost) no vegetation or buildings (e.g., bare rock, sand plains)
5 = water surfaces: any type of water surface (e.g., rivers, lakes)
9 = missing surface classification, most likely due to cloud cover
If a TIF file for a given year within the observation period is missing, no valid satellite imagery was available for that year (e.g., due to constant cloud cover)
Surface Groups Nepal 1984 - 2021
Surface groups for Nepal (years 1984 - 2021) as georeferenced TIF files.
Classified land cover (surface) of each pixel indicated as:
0 = built-up surfaces: surfaces with buildings of non-natural materials such as concrete, metal, and glass (e.g., residential buildings, industrial plants, roads)
1 = grassy surfaces: surfaces covered by grass or other plants with similar surface reflectance (e.g., natural grassland, city parks)
2 = surfaces with crop fields: surfaces with vegetation for agricultural purposes (e.g., hayfields, vineyards)
3 = forest-covered surfaces: surfaces covered by trees or other plants with similar surface reflectance (e.g., mixed forests, moors)
4 = surfaces without vegetation: surfaces with (almost) no vegetation or buildings (e.g., bare rock, sand plains)
5 = water surfaces: any type of water surface (e.g., rivers, lakes)
9 = missing surface classification, most likely due to cloud cover
If a TIF file for a given year within the observation period is missing, no valid satellite imagery was available for that year (e.g., due to constant cloud cover)
Surface Groups Algeria 1984-2021
Surface groups for Algeria (years 1984 - 2021) as georeferenced TIF files.
Classified land cover (surface) of each pixel indicated as:
0 = built-up surfaces: surfaces with buildings of non-natural materials such as concrete, metal, and glass (e.g., residential buildings, industrial plants, roads)
1 = grassy surfaces: surfaces covered by grass or other plants with similar surface reflectance (e.g., natural grassland, city parks)
2 = surfaces with crop fields: surfaces with vegetation for agricultural purposes (e.g., hayfields, vineyards)
3 = forest-covered surfaces: surfaces covered by trees or other plants with similar surface reflectance (e.g., mixed forests, moors)
4 = surfaces without vegetation: surfaces with (almost) no vegetation or buildings (e.g., bare rock, sand plains)
5 = water surfaces: any type of water surface (e.g., rivers, lakes)
9 = missing surface classification, most likely due to cloud cover
If a TIF file for a given year within the observation period is missing, no valid satellite imagery was available for that year (e.g., due to constant cloud cover)
ÜGK / COFO / VECOF 2024 (HarmoS 4), Field Trial 2022, add-on study DigiPrim, Parents Data
This dataset is made available exclusively for research purposes. Access to this data is granted solely to DigiPrim cooperation partners, subject to a prior agreement (for further details contact [email protected]). Please note that this restricted access will be maintained until the end of 2024, after which further data sharing arrangements may be considered.
This dataset contains information from parents of primary school students in the German, French, and Italian-speaking parts of Switzerland. It focuses on parents of second-year (HarmoS 4) students, typically around 8 years old, who participated in a national large-scale assessment in 2022 (ÜGK / COFO / VECOF 2024 (HarmoS 4) Field Trial). Based on a probability online survey, the dataset includes responses of 2,736 parents and covers numeric information on socio-demographics, leisure activities, and digitalization in the home and education environment
ÜGK / COFO / VECOF 2024 (HarmoS 4), Field Trial 2022, add-on study DigiPrim, School Principals / School Sites Data
This dataset is made available exclusively for research purposes. Access to this data is granted solely to DigiPrim cooperation partners, subject to a prior agreement (for further details contact [email protected]). Please note that this restricted access will be maintained until the end of 2024, after which further data sharing arrangements may be considered.
This dataset covers information from Swiss primary school principals gathered via standardized online questionnaires. It encompasses the German, French, and Italian-speaking regions of Switzerland. Focusing on school principals responsible for school sites which have second-year students (HarmoS 4), typically around 8 years old, who participated in a national large-scale assessment in 2022 (ÜGK / COFO / VECOF 2024 (HarmoS 4) Field Trial). A total of 167 school principals from 172 school sites responded to an online survey. The data comprises numeric data, including topics such as socio-demographics, school infrastructure, school culture, and digitalization within the educational environment